Research on Traditional Costume Culture Information Extraction and Digital Reconstruction Methods Based on Artificial Intelligence
24. März 2025
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Online veröffentlicht: 24. März 2025
Eingereicht: 04. Nov. 2024
Akzeptiert: 03. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0718
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© 2025 Miao Yu, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Information extraction results of the UNet model
| Site | AP | Precision | F1 value | Recall |
|---|---|---|---|---|
| Arm | 72.76% | 78.29% | 77.84% | 75.99% |
| Foot | 62.34% | 70.27% | 70.22% | 70.46% |
| Forebreast | 78.47% | 77.35% | 83.96% | 81.31% |
| Head | 92.46% | 90.14% | 90.39% | 91.58% |
| Leg | 68.17% | 63.09% | 70.92% | 73.87% |
| Waist | 70.17% | 67.58% | 65.33% | 72.49% |
Similarity of different element images
| Pattern elements of clothing | SS | MSE | MSRE | PSNR |
|---|---|---|---|---|
| Elephant, pagoda | 0.689 | 0.775 | 0.851 | 18.693 |
| Elephant, human | 0.684 | 0.769 | 0.859 | 17.857 |
| Peacock | 0.779 | 0.925 | 0.946 | 20.672 |
| Human, horse | 0.725 | 0.828 | 0.919 | 18.683 |
| Architecture | 0.846 | 0.781 | 0.861 | 17.657 |
| Average | 0.745 | 0.816 | 0.887 | 18.712 |
Information extraction results of the RSKP-UNet model
| Site | AP | Precision | F1 value | Recall |
|---|---|---|---|---|
| Arm | 81.88% | 81.05% | 78.74% | 80.67% |
| Foot | 73.42% | 74.05% | 75.52% | 72.55% |
| Forebreast | 84.47% | 86.74% | 85.04% | 85.88% |
| Head | 95.62% | 93.29% | 92.71% | 94.33% |
| Leg | 71.54% | 68.94% | 72.17% | 75.24% |
| Waist | 74.23% | 73.03% | 70.18% | 79.74% |